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Knowledge base for 3D rendering styles

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Presentation International Cartographic Conference, Rio de Janeiro, Brazil, 23-28 August 2015

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Knowledge base for 3D rendering styles

  1. 1. Knowledge base for 3D rendering styles (a system to apply cartographic practices on 3D renderings) Sidonie Christophe, Mickaël Brasebin, Élodie Buard, Florian Pelloie IGN-France, COGIT Lab. ICC2015 - 23-26 August 2015
  2. 2. Motivation To adapt 3D renderings to urban projects
  3. 3. Motivation To adapt 3D renderings to urban projects ➔ to control 3D styles ➔ to smoothly navigate between 3D styles
  4. 4. Motivation Mixing and navigating between 3D styles for building representation (Hoarau 2015) (Semmo & Döllner 2014) (Biljecki 2014; Semmo et al. 2013)
  5. 5. Aim of the talk 3D Data GUI Formalized styles Interpolation method Production of intermediate mixes User with task(s)
  6. 6. Aim of the talk 3D Data GUI Formalized styles Interpolation method Production of intermediate mixes User with task(s) Focus
  7. 7. Approach 1. Style Formalization: 2D style model to 3D style model? 2. Analysis and annotation of 3D renderings 3. 3D Knowledge base production
  8. 8. Style formalization
  9. 9. Style formalization Rendering process driven by style description Ex.: expressive, photo-realist, etc. Ex.: textures Ex.: sea, roads, ortho-image Ex.: color, width, tiledistribution
  10. 10. Style formalization Existing formalisms to describe ● 2D styles (OGC SLD/SE) ● 2D SLD extension ● 3D SLD
  11. 11. Style formalization Model design for style formalization based on represented features External data
  12. 12. Style formalization -> To identify controllable 3D graphic parameters External data
  13. 13. Style formalization -> To identify representative and recognizable 3D categories of styles External data
  14. 14. Analysis of 3D renderings
  15. 15. Analysis of 3D renderings 15 3D renderings manually annotated: 1. Overall categorization into categories 2. Feature extraction 3. Graphic parameters extraction
  16. 16. Analysis of 3D renderings Level of Detail (+/-) and (Non)Photo-Realism
  17. 17. Analysis of 3D renderingsLevel of detail photo-realism
  18. 18. Analysis of 3D renderings Windows Wall Features Graphic parameters TexturesVisual variables StyleCategory ex.: non- photorealistic pencil draw style
  19. 19. Analysis of 3D renderings Windows Wall Features Graphic parameters TexturesVisual variables gridtexture (4,2), L=x, l=y white background, black outline l’ StyleCategory ex.: photorealistic
  20. 20. Analysis of 3D renderings - a set of annotated 3D renderings - for each visible feature, a set of graphic parameters - each 3D rendering into a category -> to link graphic parameters and 3D categories of style
  21. 21. 3D Knowledge Base Production
  22. 22. Knowledge base production Step 1: manual evaluation of a set of renderings ➔ Can be realized by external contributors 3D Rendering 3D Rendering 3D Rendering 3D Rendering 3D Rendering 3D Rendering 3D Rendering 3D Rendering 3D Rendering 3D Rendering
  23. 23. Step 2: extraction of relevant information ➔ Importance of a feature (i.e. screen size) ➔ Relationship between features (i.e. spatial relation to assess saliency) Knowledge base production
  24. 24. Step 3 : extraction of patterns ➔ Inherent characteristics of graphic parameters ex.: pencil-like strokes make think about a NPR rendering (level of stylisation) ➔ Relation between a feature and graphic parameters ex.: unconventional colors used for some features make think about a NPR rendering (level of realism) ➔ Relation between represented features ex.: same representation for touching features tends to decrease the level of detail of a representation (level of contrasts) Knowledge base production
  25. 25. Conclusion & Perspectives Very first steps towards a 3D style model - Is 2D knowledge transferable to 3D? ➔ Begin of long term thoughts about 3D semiotics for better practices (to simplify design & implementation tasks) ➔ Interpolation between 3D styles (to simplify users’ tasks) ➔ Understanding of 3D styles vs. users vs. tasks?
  26. 26. Thank you for your attention! sidonie.christophe@ign.fr

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